Overview

Dataset statistics

Number of variables46
Number of observations537436
Missing cells2303347
Missing cells (%)9.3%
Duplicate rows5874
Duplicate rows (%)1.1%
Total size in memory188.6 MiB
Average record size in memory368.0 B

Variable types

CAT23
NUM22
BOOL1

Warnings

Dataset has 5874 (1.1%) duplicate rows Duplicates
UNIDADE_FEDERATIVA_CURSO is highly correlated with MUNICIPIO_CURSO and 1 other fieldsHigh correlation
MUNICIPIO_CURSO is highly correlated with UNIDADE_FEDERATIVA_CURSO and 1 other fieldsHigh correlation
REGIAO_CURSO is highly correlated with MUNICIPIO_CURSO and 1 other fieldsHigh correlation
ESTADO_CIVIL_ESTUDANTE has 69780 (13.0%) missing values Missing
COR_RACA_ESTUDANTE has 69780 (13.0%) missing values Missing
ESCOLARIDADE_PAI_ESTUDANTE has 69780 (13.0%) missing values Missing
ESCOLARIDADE_MAE_ESTUDANTE has 69780 (13.0%) missing values Missing
RESIDENCIA_ESTUDANTE has 69780 (13.0%) missing values Missing
COMPANHIA_RESIDENCIA_ESTUDANTE has 69780 (13.0%) missing values Missing
RENDA_FAMILIA_ESTUDANTE has 69780 (13.0%) missing values Missing
SITUACAO_FINANCEIRA_ESTUDANTE has 69780 (13.0%) missing values Missing
SITUACAO_TRABALHO_ESTUDANTE has 69780 (13.0%) missing values Missing
BOLSA_ESTUDO_ESTUDANTE has 69780 (13.0%) missing values Missing
AUXILIO_PERMANENCIA_ESTUDANTE has 69780 (13.0%) missing values Missing
BOLSA_ACADEMICA_ESTUDANTE has 69780 (13.0%) missing values Missing
ACAO_AFIRMATIVA_ESTUDANTE has 69780 (13.0%) missing values Missing
UNIDADE_FEDERATIVA_ESC_ENS_MEDIO has 69780 (13.0%) missing values Missing
CATEGORIA_ESCOLA_ENS_MEDIO has 69780 (13.0%) missing values Missing
MODALIDADE_ENS_MEDIO has 69780 (13.0%) missing values Missing
INCENTIVO_CURSO has 69780 (13.0%) missing values Missing
APOIO_DIFICULDADES_ESTUDANTE has 69780 (13.0%) missing values Missing
CURSO_SUPERIOR_FAMILIA has 69780 (13.0%) missing values Missing
HORAS_ESTUDO_SEMANA_ESTUDANTE has 69780 (13.0%) missing values Missing
MOTIVO_ESCOLHA_CURSO has 69780 (13.0%) missing values Missing
MOTIVO_ESCOLHA_IES has 69780 (13.0%) missing values Missing
RELACAO_PROFESSOR_ALUNO has 69780 (13.0%) missing values Missing
DEDICACAO_ESTUDOS has 69780 (13.0%) missing values Missing
UTILIZACAO_TICS has 69780 (13.0%) missing values Missing
QTDE_FUNCIONARIOS_IES has 69780 (13.0%) missing values Missing
PESSOAL_APOIO_IES has 69780 (13.0%) missing values Missing
INFRAESTRUTURA_SALAS_IES has 69780 (13.0%) missing values Missing
RECURSOS_AULAS_PRATICAS has 69780 (13.0%) missing values Missing
LOCAIS_AULAS_PRATICAS has 69780 (13.0%) missing values Missing
RECURSOS_BIBLIOTECA_IES has 69780 (13.0%) missing values Missing
BIBLIOTECA_VIRTUAL has 69780 (13.0%) missing values Missing
INFRAESTRUTURA_GERAL_IES has 69780 (13.0%) missing values Missing

Reproduction

Analysis started2020-10-06 11:37:50.746433
Analysis finished2020-10-06 11:45:54.414239
Duration8 minutes and 3.67 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

CODIGO_IES
Real number (ℝ≥0)

Distinct1478
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1385.499157
Minimum1
Maximum19739
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:45:54.590965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17
Q1322
median583
Q31472
95-th percentile4849
Maximum19739
Range19738
Interquartile range (IQR)1150

Descriptive statistics

Standard deviation2504.935866
Coefficient of variation (CV)1.807966359
Kurtosis22.85498524
Mean1385.499157
Median Absolute Deviation (MAD)440
Skewness4.493110722
Sum744617125
Variance6274703.694
MonotocityNot monotonic
2020-10-06T08:45:55.038258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1491176933.3%
 
322171813.2%
 
1472134192.5%
 
298131392.4%
 
163110062.0%
 
56982291.5%
 
31675091.4%
 
5660641.1%
 
95358751.1%
 
67157941.1%
 
Other values (1468)43152780.3%
 
ValueCountFrequency (%) 
112950.2%
 
230370.6%
 
318600.3%
 
417790.3%
 
538770.7%
 
ValueCountFrequency (%) 
1973924< 0.1%
 
1957854< 0.1%
 
1951238< 0.1%
 
1887418< 0.1%
 
18759217< 0.1%
 

CATEGORIA_ADMINISTRATIVA_IES
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.345376938
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:45:55.260796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.56735268
Coefficient of variation (CV)0.4685130282
Kurtosis-1.301488746
Mean3.345376938
Median Absolute Deviation (MAD)1
Skewness-0.4546093197
Sum1797926
Variance2.456594423
MonotocityNot monotonic
2020-10-06T08:45:55.463870image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
419298135.9%
 
514880327.7%
 
112522323.3%
 
26267511.7%
 
357161.1%
 
720380.4%
 
ValueCountFrequency (%) 
112522323.3%
 
26267511.7%
 
357161.1%
 
419298135.9%
 
514880327.7%
 
ValueCountFrequency (%) 
720380.4%
 
514880327.7%
 
419298135.9%
 
357161.1%
 
26267511.7%
 

ORGANIZACAO_ACADEMICA_IES
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10025.23158
Minimum10019
Maximum10028
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:45:55.666980image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10019
5-th percentile10020
Q110022
median10028
Q310028
95-th percentile10028
Maximum10028
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.484123954
Coefficient of variation (CV)0.0003475355086
Kurtosis-1.550426577
Mean10025.23158
Median Absolute Deviation (MAD)0
Skewness-0.5602876976
Sum5387920357
Variance12.13911973
MonotocityNot monotonic
2020-10-06T08:45:55.873022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
1002831785759.1%
 
1002011197820.8%
 
100229159017.0%
 
10026145162.7%
 
1001914950.3%
 
ValueCountFrequency (%) 
1001914950.3%
 
1002011197820.8%
 
100229159017.0%
 
10026145162.7%
 
1002831785759.1%
 
ValueCountFrequency (%) 
1002831785759.1%
 
10026145162.7%
 
100229159017.0%
 
1002011197820.8%
 
1001914950.3%
 

CODIGO_CURSO
Real number (ℝ≥0)

Distinct10571
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean374871.9435
Minimum3
Maximum5001385
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:45:56.122960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5483
Q134476
median97507
Q3311303
95-th percentile1259062
Maximum5001385
Range5001382
Interquartile range (IQR)276827

Descriptive statistics

Standard deviation685490.8382
Coefficient of variation (CV)1.828600006
Kurtosis22.19653264
Mean374871.9435
Median Absolute Deviation (MAD)68011
Skewness3.948340161
Sum2.014696778e+11
Variance4.698976893e+11
MonotocityNot monotonic
2020-10-06T08:45:56.377021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
98892134272.5%
 
8938097871.8%
 
10228073431.4%
 
10030550440.9%
 
8728041720.8%
 
9665531650.6%
 
126802323060.4%
 
7937717790.3%
 
11000017290.3%
 
130012215040.3%
 
Other values (10561)48718090.6%
 
ValueCountFrequency (%) 
340< 0.1%
 
660< 0.1%
 
1045< 0.1%
 
1648< 0.1%
 
1929< 0.1%
 
ValueCountFrequency (%) 
500138533< 0.1%
 
500132824< 0.1%
 
500130272< 0.1%
 
50012856< 0.1%
 
50012842< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
1
422822 
0
114614 
ValueCountFrequency (%) 
142282278.7%
 
011461421.3%
 
2020-10-06T08:45:56.596322image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

MUNICIPIO_CURSO
Real number (ℝ≥0)

HIGH CORRELATION

Distinct837
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3401669.435
Minimum1100023
Maximum5300108
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:45:56.802885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1100023
5-th percentile1502400
Q13106200
median3509502
Q34106902
95-th percentile5103403
Maximum5300108
Range4200085
Interquartile range (IQR)1000702

Descriptive statistics

Standard deviation887485.5845
Coefficient of variation (CV)0.2608970688
Kurtosis0.3182613424
Mean3401669.435
Median Absolute Deviation (MAD)595306
Skewness-0.2565975084
Sum1.828179614e+12
Variance7.876306627e+11
MonotocityNot monotonic
2020-10-06T08:45:57.021582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3550308454408.5%
 
3304557282785.3%
 
4106902262204.9%
 
3106200149362.8%
 
4113700148122.8%
 
4207502134192.5%
 
2611606102881.9%
 
530010897491.8%
 
354850085741.6%
 
130260385141.6%
 
Other values (827)35720666.5%
 
ValueCountFrequency (%) 
1100023162< 0.1%
 
11000493110.1%
 
110006461< 0.1%
 
1100106126< 0.1%
 
110011432< 0.1%
 
ValueCountFrequency (%) 
530010897491.8%
 
522185896< 0.1%
 
522180977< 0.1%
 
5221601183< 0.1%
 
522140365< 0.1%
 

UNIDADE_FEDERATIVA_CURSO
Real number (ℝ≥0)

HIGH CORRELATION

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.83609211
Minimum11
Maximum53
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:45:57.275982image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q131
median35
Q341
95-th percentile51
Maximum53
Range42
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.867266819
Coefficient of variation (CV)0.2620653351
Kurtosis0.3093317155
Mean33.83609211
Median Absolute Deviation (MAD)6
Skewness-0.2173793967
Sum18184734
Variance78.62842084
MonotocityNot monotonic
2020-10-06T08:45:57.493176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
3513724925.5%
 
415906911.0%
 
315569910.4%
 
33504849.4%
 
42295675.5%
 
43241534.5%
 
29190903.6%
 
26169273.1%
 
15145832.7%
 
23144332.7%
 
Other values (17)11618221.6%
 
ValueCountFrequency (%) 
1130440.6%
 
1217850.3%
 
1399541.9%
 
1410010.2%
 
15145832.7%
 
ValueCountFrequency (%) 
5397491.8%
 
52130992.4%
 
5156051.0%
 
50116402.2%
 
43241534.5%
 

REGIAO_CURSO
Real number (ℝ≥0)

HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.042857196
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:45:57.711874image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.981308536
Coefficient of variation (CV)0.3224957574
Kurtosis-0.08758909823
Mean3.042857196
Median Absolute Deviation (MAD)1
Skewness-0.05757373795
Sum1635341
Variance0.9629664428
MonotocityNot monotonic
2020-10-06T08:45:57.919195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
325232046.9%
 
411278921.0%
 
29452617.6%
 
5400937.5%
 
1377087.0%
 
ValueCountFrequency (%) 
1377087.0%
 
29452617.6%
 
325232046.9%
 
411278921.0%
 
5400937.5%
 
ValueCountFrequency (%) 
5400937.5%
 
411278921.0%
 
325232046.9%
 
29452617.6%
 
1377087.0%
 

IDADE_ESTUDANTE
Real number (ℝ≥0)

Distinct73
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.22613483
Minimum10
Maximum95
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:45:58.153515image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile21
Q123
median26
Q333
95-th percentile46
Maximum95
Range85
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.169930205
Coefficient of variation (CV)0.2795419323
Kurtosis1.855152065
Mean29.22613483
Median Absolute Deviation (MAD)4
Skewness1.410261027
Sum15707177
Variance66.74775955
MonotocityNot monotonic
2020-10-06T08:45:58.376207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
235619910.5%
 
225527410.3%
 
24488929.1%
 
25391047.3%
 
26323746.0%
 
21297245.5%
 
27261514.9%
 
28232324.3%
 
29203923.8%
 
30178103.3%
 
Other values (63)18828435.0%
 
ValueCountFrequency (%) 
101< 0.1%
 
161< 0.1%
 
172< 0.1%
 
1843< 0.1%
 
1911190.2%
 
ValueCountFrequency (%) 
951< 0.1%
 
901< 0.1%
 
871< 0.1%
 
851< 0.1%
 
841< 0.1%
 

SEXO_ESTUDANTE
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.1 MiB
F
292107 
M
245329 
ValueCountFrequency (%) 
F29210754.4%
 
M24532945.6%
 
2020-10-06T08:45:58.610489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:45:58.911376image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:45:59.098869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

ANO_CONCLUSAO_ENS_MEDIO
Real number (ℝ≥0)

Distinct61
Distinct (%)< 0.1%
Missing71
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2007.111286
Minimum1957
Maximum2017
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:45:59.317537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1957
5-th percentile1994
Q12004
median2009
Q32012
95-th percentile2013
Maximum2017
Range60
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.397587971
Coefficient of variation (CV)0.003187460515
Kurtosis3.689114874
Mean2007.111286
Median Absolute Deviation (MAD)3
Skewness-1.73261015
Sum1078551356
Variance40.92913185
MonotocityNot monotonic
2020-10-06T08:45:59.570442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
20127692314.3%
 
20116328611.8%
 
20105520210.3%
 
2013456398.5%
 
2009403317.5%
 
2008321956.0%
 
2007255834.8%
 
2006218644.1%
 
2005197173.7%
 
2014174333.2%
 
Other values (51)13919225.9%
 
ValueCountFrequency (%) 
19572< 0.1%
 
19582< 0.1%
 
19592< 0.1%
 
19601< 0.1%
 
19611< 0.1%
 
ValueCountFrequency (%) 
201714< 0.1%
 
20167340.1%
 
201520880.4%
 
2014174333.2%
 
2013456398.5%
 

ANO_INICIO_GRADUACAO
Real number (ℝ≥0)

Distinct40
Distinct (%)< 0.1%
Missing71
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2013.110184
Minimum1976
Maximum2017
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:45:59.804728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1976
5-th percentile2010
Q12012
median2013
Q32014
95-th percentile2016
Maximum2017
Range41
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.962369161
Coefficient of variation (CV)0.0009747947116
Kurtosis9.725971592
Mean2013.110184
Median Absolute Deviation (MAD)1
Skewness-1.709445755
Sum1081774954
Variance3.850892725
MonotocityNot monotonic
2020-10-06T08:46:00.043239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%) 
201414129926.3%
 
201313908425.9%
 
20157330813.6%
 
20127099613.2%
 
2011379487.1%
 
2010198203.7%
 
2016180173.4%
 
2017134812.5%
 
2009101871.9%
 
200853561.0%
 
Other values (30)78691.5%
 
ValueCountFrequency (%) 
19761< 0.1%
 
19781< 0.1%
 
19801< 0.1%
 
19812< 0.1%
 
19824< 0.1%
 
ValueCountFrequency (%) 
2017134812.5%
 
2016180173.4%
 
20157330813.6%
 
201414129926.3%
 
201313908425.9%
 

TURNO_CURSO
Categorical

Distinct4
Distinct (%)< 0.1%
Missing465
Missing (%)0.1%
Memory size4.1 MiB
4
336976 
3
101530 
1
75337 
2
 
23128
ValueCountFrequency (%) 
433697662.7%
 
310153018.9%
 
17533714.0%
 
2231284.3%
 
(Missing)4650.1%
 
2020-10-06T08:46:00.277523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:00.449390image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:00.656516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

ESTADO_CIVIL_ESTUDANTE
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
318407 
B
116106 
E
 
17035
C
 
14471
D
 
1637
ValueCountFrequency (%) 
A31840759.2%
 
B11610621.6%
 
E170353.2%
 
C144712.7%
 
D16370.3%
 
(Missing)6978013.0%
 
2020-10-06T08:46:00.875251image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:01.050026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:01.268723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

COR_RACA_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
241871 
D
155086 
B
44090 
F
 
13313
C
 
11325
ValueCountFrequency (%) 
A24187145.0%
 
D15508628.9%
 
B440908.2%
 
F133132.5%
 
C113252.1%
 
E19710.4%
 
(Missing)6978013.0%
 
2020-10-06T08:46:01.503043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:01.678922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:01.913281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

ESCOLARIDADE_PAI_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
B
142488 
D
136102 
C
68164 
E
61890 
A
36927 
ValueCountFrequency (%) 
B14248826.5%
 
D13610225.3%
 
C6816412.7%
 
E6189011.5%
 
A369276.9%
 
F220854.1%
 
(Missing)6978013.0%
 
2020-10-06T08:46:02.136119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:02.323578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:02.557857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

ESCOLARIDADE_MAE_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
D
144018 
B
123070 
E
68732 
C
67947 
F
38097 
ValueCountFrequency (%) 
D14401826.8%
 
B12307022.9%
 
E6873212.8%
 
C6794712.6%
 
F380977.1%
 
A257924.8%
 
(Missing)6978013.0%
 
2020-10-06T08:46:02.779592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:02.967045image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:03.189785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

RESIDENCIA_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
B
244966 
C
153587 
A
33500 
D
30101 
F
 
3691
ValueCountFrequency (%) 
B24496645.6%
 
C15358728.6%
 
A335006.2%
 
D301015.6%
 
F36910.7%
 
E18110.3%
 
(Missing)6978013.0%
 
2020-10-06T08:46:03.549071image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:03.734843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:03.958727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1
Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
D
117870 
C
108087 
B
72145 
E
68291 
A
52644 
Other values (3)
48619 
ValueCountFrequency (%) 
D11787021.9%
 
C10808720.1%
 
B7214513.4%
 
E6829112.7%
 
A526449.8%
 
F291065.4%
 
G111062.1%
 
H84071.6%
 
(Missing)6978013.0%
 
2020-10-06T08:46:04.196572image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:04.368404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:04.618343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

RENDA_FAMILIA_ESTUDANTE
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
B
135503 
A
105918 
C
95843 
E
49348 
D
49096 
Other values (2)
31948 
ValueCountFrequency (%) 
B13550325.2%
 
A10591819.7%
 
C9584317.8%
 
E493489.2%
 
D490969.1%
 
F279345.2%
 
G40140.7%
 
(Missing)6978013.0%
 
2020-10-06T08:46:04.841153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:05.027714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:05.282604image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1
Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
C
126179 
B
124435 
E
93485 
D
48791 
F
42792 
ValueCountFrequency (%) 
C12617923.5%
 
B12443523.2%
 
E9348517.4%
 
D487919.1%
 
F427928.0%
 
A319745.9%
 
(Missing)6978013.0%
 
2020-10-06T08:46:05.579410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:05.801091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:06.066654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

SITUACAO_TRABALHO_ESTUDANTE
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
176681 
E
158298 
D
55441 
C
40141 
B
37095 
ValueCountFrequency (%) 
A17668132.9%
 
E15829829.5%
 
D5544110.3%
 
C401417.5%
 
B370956.9%
 
(Missing)6978013.0%
 
2020-10-06T08:46:06.289290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:06.461303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:06.680042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

BOLSA_ESTUDO_ESTUDANTE
Categorical

MISSING

Distinct11
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
155492 
B
142471 
E
67023 
H
32860 
C
29050 
Other values (6)
40760 
ValueCountFrequency (%) 
A15549228.9%
 
B14247126.5%
 
E6702312.5%
 
H328606.1%
 
C290505.4%
 
G137562.6%
 
I96741.8%
 
J61261.1%
 
D55621.0%
 
F35040.7%
 
(Missing)6978013.0%
 
2020-10-06T08:46:06.918412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:07.137109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1
Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
425892 
E
 
12398
F
 
11674
C
 
8899
D
 
5027
ValueCountFrequency (%) 
A42589279.2%
 
E123982.3%
 
F116742.2%
 
C88991.7%
 
D50270.9%
 
B37660.7%
 
(Missing)6978013.0%
 
2020-10-06T08:46:07.340183image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:07.516097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:07.734831image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

BOLSA_ACADEMICA_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
349251 
F
42387 
B
41843 
D
 
15993
C
 
14748
ValueCountFrequency (%) 
A34925165.0%
 
F423877.9%
 
B418437.8%
 
D159933.0%
 
C147482.7%
 
E34340.6%
 
(Missing)6978013.0%
 
2020-10-06T08:46:07.956482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:08.128313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:08.362668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

ACAO_AFIRMATIVA_ESTUDANTE
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
366276 
D
37375 
C
 
25825
E
 
18443
F
 
10860
ValueCountFrequency (%) 
A36627668.2%
 
D373757.0%
 
C258254.8%
 
E184433.4%
 
F108602.0%
 
B88771.7%
 
(Missing)6978013.0%
 
2020-10-06T08:46:08.585558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:08.897985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:09.120751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

UNIDADE_FEDERATIVA_ESC_ENS_MEDIO
Real number (ℝ≥0)

MISSING

Distinct28
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean33.33837906
Minimum11
Maximum99
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:46:09.339449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q129
median33
Q335
95-th percentile52
Maximum99
Range88
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.05218682
Coefficient of variation (CV)0.301519963
Kurtosis6.682070247
Mean33.33837906
Median Absolute Deviation (MAD)4
Skewness1.005519949
Sum15590893
Variance101.0464599
MonotocityNot monotonic
2020-10-06T08:46:09.545409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%) 
3511135220.7%
 
315731410.7%
 
33419807.8%
 
41299715.6%
 
43263444.9%
 
29231944.3%
 
42206023.8%
 
15176793.3%
 
26161003.0%
 
52143052.7%
 
Other values (18)10881520.2%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1141300.8%
 
1220500.4%
 
1381561.5%
 
1411090.2%
 
15176793.3%
 
ValueCountFrequency (%) 
9919180.4%
 
5381371.5%
 
52143052.7%
 
5162601.2%
 
5069261.3%
 

CATEGORIA_ESCOLA_ENS_MEDIO
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
321192 
B
109791 
D
 
19429
E
 
15795
F
 
952
ValueCountFrequency (%) 
A32119259.8%
 
B10979120.4%
 
D194293.6%
 
E157952.9%
 
F9520.2%
 
C4970.1%
 
(Missing)6978013.0%
 
2020-10-06T08:46:09.779695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:09.951527image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:10.189999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

MODALIDADE_ENS_MEDIO
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
364410 
B
44842 
D
 
27389
C
 
26610
E
 
4405
ValueCountFrequency (%) 
A36441067.8%
 
B448428.3%
 
D273895.1%
 
C266105.0%
 
E44050.8%
 
(Missing)6978013.0%
 
2020-10-06T08:46:10.424315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:10.600233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:10.818892image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

INCENTIVO_CURSO
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
B
281251 
A
79413 
C
46476 
F
 
28022
G
 
15286
Other values (2)
 
17208
ValueCountFrequency (%) 
B28125152.3%
 
A7941314.8%
 
C464768.6%
 
F280225.2%
 
G152862.8%
 
D152542.8%
 
E19540.4%
 
(Missing)6978013.0%
 
2020-10-06T08:46:11.037593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:11.212389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:11.446711image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1
Distinct11
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
C
176117 
A
120843 
G
55466 
K
35135 
B
29140 
Other values (6)
50955 
ValueCountFrequency (%) 
C17611732.8%
 
A12084322.5%
 
G5546610.3%
 
K351356.5%
 
B291405.4%
 
H230054.3%
 
E116912.2%
 
J68371.3%
 
D57601.1%
 
F20720.4%
 
(Missing)6978013.0%
 
2020-10-06T08:46:11.669627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:11.888288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

CURSO_SUPERIOR_FAMILIA
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
A
307655 
B
160001 
ValueCountFrequency (%) 
A30765557.2%
 
B16000129.8%
 
(Missing)6978013.0%
 
2020-10-06T08:46:12.128283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:12.298454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:12.470288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1
Distinct5
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
B
192297 
C
140405 
D
60636 
E
55742 
A
 
18576
ValueCountFrequency (%) 
B19229735.8%
 
C14040526.1%
 
D6063611.3%
 
E5574210.4%
 
A185763.5%
 
(Missing)6978013.0%
 
2020-10-06T08:46:12.707526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:12.879359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:13.098059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

MOTIVO_ESCOLHA_CURSO
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
E
169963 
A
105294 
H
76316 
C
66662 
B
28851 
Other values (3)
20570 
ValueCountFrequency (%) 
E16996331.6%
 
A10529419.6%
 
H7631614.2%
 
C6666212.4%
 
B288515.4%
 
F103671.9%
 
G58871.1%
 
D43160.8%
 
(Missing)6978013.0%
 
2020-10-06T08:46:13.320873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:13.508366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:13.903029image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

MOTIVO_ESCOLHA_IES
Categorical

MISSING

Distinct9
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Memory size4.1 MiB
F
158176 
A
81702 
C
74891 
I
41914 
B
40766 
Other values (4)
70207 
ValueCountFrequency (%) 
F15817629.4%
 
A8170215.2%
 
C7489113.9%
 
I419147.8%
 
B407667.6%
 
E332236.2%
 
H238564.4%
 
G66611.2%
 
D64671.2%
 
(Missing)6978013.0%
 
2020-10-06T08:46:14.137349image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-10-06T08:46:14.327761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:46:14.562080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.259677431
Min length1

RELACAO_PROFESSOR_ALUNO
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.940287305
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:46:14.772103image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.336772827
Coefficient of variation (CV)0.2705860499
Kurtosis0.8833833545
Mean4.940287305
Median Absolute Deviation (MAD)1
Skewness-1.132340826
Sum2310355
Variance1.786961591
MonotocityNot monotonic
2020-10-06T08:46:14.972308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
620805838.7%
 
511543721.5%
 
47255913.5%
 
3342646.4%
 
2176283.3%
 
1140322.6%
 
729180.5%
 
827600.5%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1140322.6%
 
2176283.3%
 
3342646.4%
 
47255913.5%
 
511543721.5%
 
ValueCountFrequency (%) 
827600.5%
 
729180.5%
 
620805838.7%
 
511543721.5%
 
47255913.5%
 

DEDICACAO_ESTUDOS
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.397001215
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:46:15.175382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9926446352
Coefficient of variation (CV)0.1839252199
Kurtosis3.999293096
Mean5.397001215
Median Absolute Deviation (MAD)0
Skewness-1.858254702
Sum2523940
Variance0.9853433717
MonotocityNot monotonic
2020-10-06T08:46:15.366934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
628752953.5%
 
510752520.0%
 
4428808.0%
 
3161043.0%
 
258121.1%
 
143080.8%
 
726070.5%
 
88910.2%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
143080.8%
 
258121.1%
 
3161043.0%
 
4428808.0%
 
510752520.0%
 
ValueCountFrequency (%) 
88910.2%
 
726070.5%
 
628752953.5%
 
510752520.0%
 
4428808.0%
 

UTILIZACAO_TICS
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.287403562
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:46:15.570010image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.15966876
Coefficient of variation (CV)0.2193266971
Kurtosis2.401130806
Mean5.287403562
Median Absolute Deviation (MAD)0
Skewness-1.424287455
Sum2472686
Variance1.344831632
MonotocityNot monotonic
2020-10-06T08:46:15.757466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
626217248.8%
 
510457819.5%
 
4512649.5%
 
3228544.3%
 
299281.8%
 
166561.2%
 
852061.0%
 
749980.9%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
166561.2%
 
299281.8%
 
3228544.3%
 
4512649.5%
 
510457819.5%
 
ValueCountFrequency (%) 
852061.0%
 
749980.9%
 
626217248.8%
 
510457819.5%
 
4512649.5%
 

QTDE_FUNCIONARIOS_IES
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.999589442
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:46:15.964655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.377580436
Coefficient of variation (CV)0.2755387121
Kurtosis0.8938001714
Mean4.999589442
Median Absolute Deviation (MAD)1
Skewness-1.150458486
Sum2338088
Variance1.897727857
MonotocityNot monotonic
2020-10-06T08:46:16.167765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
621359639.7%
 
510797220.1%
 
46471512.0%
 
3338796.3%
 
2173053.2%
 
1153822.9%
 
7122932.3%
 
825140.5%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1153822.9%
 
2173053.2%
 
3338796.3%
 
46471512.0%
 
510797220.1%
 
ValueCountFrequency (%) 
825140.5%
 
7122932.3%
 
621359639.7%
 
510797220.1%
 
46471512.0%
 

PESSOAL_APOIO_IES
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.954470808
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:46:16.371577image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.544319194
Coefficient of variation (CV)0.3117021483
Kurtosis0.436331488
Mean4.954470808
Median Absolute Deviation (MAD)1
Skewness-0.9031036028
Sum2316988
Variance2.384921774
MonotocityNot monotonic
2020-10-06T08:46:16.576787image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
620211637.6%
 
59720618.1%
 
46335611.8%
 
3363566.8%
 
1225084.2%
 
2202833.8%
 
7139522.6%
 
8118792.2%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1225084.2%
 
2202833.8%
 
3363566.8%
 
46335611.8%
 
59720618.1%
 
ValueCountFrequency (%) 
8118792.2%
 
7139522.6%
 
620211637.6%
 
59720618.1%
 
46335611.8%
 

INFRAESTRUTURA_SALAS_IES
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.912283815
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:46:16.779863image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.427219777
Coefficient of variation (CV)0.2905409847
Kurtosis0.6175779084
Mean4.912283815
Median Absolute Deviation (MAD)1
Skewness-0.9727576009
Sum2297259
Variance2.036956291
MonotocityNot monotonic
2020-10-06T08:46:16.971472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
620219637.6%
 
511143420.7%
 
46835612.7%
 
3375537.0%
 
2203013.8%
 
1169973.2%
 
874981.4%
 
733210.6%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1169973.2%
 
2203013.8%
 
3375537.0%
 
46835612.7%
 
511143420.7%
 
ValueCountFrequency (%) 
874981.4%
 
733210.6%
 
620219637.6%
 
511143420.7%
 
46835612.7%
 

RECURSOS_AULAS_PRATICAS
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.942767761
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:46:17.174583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.569084726
Coefficient of variation (CV)0.3174506272
Kurtosis0.3161114424
Mean4.942767761
Median Absolute Deviation (MAD)1
Skewness-0.7240775957
Sum2311515
Variance2.462026877
MonotocityNot monotonic
2020-10-06T08:46:17.393282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
618997235.3%
 
510185819.0%
 
46666412.4%
 
3382897.1%
 
2221294.1%
 
1207613.9%
 
8199703.7%
 
780131.5%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1207613.9%
 
2221294.1%
 
3382897.1%
 
46666412.4%
 
510185819.0%
 
ValueCountFrequency (%) 
8199703.7%
 
780131.5%
 
618997235.3%
 
510185819.0%
 
46666412.4%
 

LOCAIS_AULAS_PRATICAS
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.006192586
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:46:17.584778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.544688485
Coefficient of variation (CV)0.3085555457
Kurtosis0.4331384758
Mean5.006192586
Median Absolute Deviation (MAD)1
Skewness-0.715995507
Sum2341176
Variance2.386062517
MonotocityNot monotonic
2020-10-06T08:46:17.787858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
619145835.6%
 
510431219.4%
 
46503212.1%
 
3370446.9%
 
8222864.1%
 
2204323.8%
 
1181983.4%
 
788941.7%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1181983.4%
 
2204323.8%
 
3370446.9%
 
46503212.1%
 
510431219.4%
 
ValueCountFrequency (%) 
8222864.1%
 
788941.7%
 
619145835.6%
 
510431219.4%
 
46503212.1%
 

RECURSOS_BIBLIOTECA_IES
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.137622526
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:46:17.993864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.296522757
Coefficient of variation (CV)0.2523585083
Kurtosis1.382784874
Mean5.137622526
Median Absolute Deviation (MAD)1
Skewness-1.179082704
Sum2402640
Variance1.680971259
MonotocityNot monotonic
2020-10-06T08:46:18.181316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
622507641.9%
 
511161120.8%
 
45898411.0%
 
3294985.5%
 
2139672.6%
 
7126432.4%
 
1105362.0%
 
853411.0%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1105362.0%
 
2139672.6%
 
3294985.5%
 
45898411.0%
 
511161120.8%
 
ValueCountFrequency (%) 
853411.0%
 
7126432.4%
 
622507641.9%
 
511161120.8%
 
45898411.0%
 

BIBLIOTECA_VIRTUAL
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean5.157194605
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:46:18.384395image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.589631834
Coefficient of variation (CV)0.3082357668
Kurtosis0.783050639
Mean5.157194605
Median Absolute Deviation (MAD)1
Skewness-1.099192143
Sum2411793
Variance2.526929367
MonotocityNot monotonic
2020-10-06T08:46:18.591793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
621114739.3%
 
58597616.0%
 
4485359.0%
 
7416847.8%
 
3273455.1%
 
1258244.8%
 
2159863.0%
 
8111592.1%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1258244.8%
 
2159863.0%
 
3273455.1%
 
4485359.0%
 
58597616.0%
 
ValueCountFrequency (%) 
8111592.1%
 
7416847.8%
 
621114739.3%
 
58597616.0%
 
4485359.0%
 

INFRAESTRUTURA_GERAL_IES
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)< 0.1%
Missing69780
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean4.976961698
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size4.1 MiB
2020-10-06T08:46:18.935423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.534716755
Coefficient of variation (CV)0.3083641885
Kurtosis0.4894133111
Mean4.976961698
Median Absolute Deviation (MAD)1
Skewness-0.9168250342
Sum2327506
Variance2.355355519
MonotocityNot monotonic
2020-10-06T08:46:19.126853image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
621570240.1%
 
59325217.4%
 
45954111.1%
 
3363406.8%
 
2218234.1%
 
1208253.9%
 
8141682.6%
 
760051.1%
 
(Missing)6978013.0%
 
ValueCountFrequency (%) 
1208253.9%
 
2218234.1%
 
3363406.8%
 
45954111.1%
 
59325217.4%
 
ValueCountFrequency (%) 
8141682.6%
 
760051.1%
 
621570240.1%
 
59325217.4%
 
45954111.1%
 

Interactions

2020-10-06T08:42:11.058654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:11.511414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:11.905115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:12.315392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:12.725580image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:13.134647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:13.509596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:13.951240image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:14.377003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:14.786163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:15.216775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:15.633796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:16.044082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:16.499986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:16.910318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:17.349908image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:17.757885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:18.198206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:18.624139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:19.159410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:19.600822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:20.025560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:20.447335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:20.842048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:21.236685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:21.645703image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:22.051852image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:22.446528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:22.825532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:23.250259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:23.656411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:24.082303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:24.492570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:24.901594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:25.311844image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:25.717997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:26.128398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:26.537432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:26.963317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:27.369469image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:27.795330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:28.210437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:28.662624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:29.071810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:29.477964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:29.872570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:30.391107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:30.785697image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:31.180313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:31.570843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:31.948727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:32.358999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:32.769235image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:33.175430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:33.584493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:33.979136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:34.389371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:34.795524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:35.204638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:35.614866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:36.040753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:36.450987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:36.857137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:37.266229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:37.676522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:38.086797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:38.508573image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:38.902098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:39.296686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:39.706914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:42:40.097449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-10-06T08:45:33.450682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:45:33.862651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:45:34.271943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-10-06T08:46:19.376760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-10-06T08:46:19.895547image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-10-06T08:46:20.321111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-10-06T08:46:20.793849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2020-10-06T08:46:21.374674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2020-10-06T08:45:36.956295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:45:41.510377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:45:49.263412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-10-06T08:45:52.664115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

CODIGO_IESCATEGORIA_ADMINISTRATIVA_IESORGANIZACAO_ACADEMICA_IESCODIGO_CURSOMODALIDADE_CURSOMUNICIPIO_CURSOUNIDADE_FEDERATIVA_CURSOREGIAO_CURSOIDADE_ESTUDANTESEXO_ESTUDANTEANO_CONCLUSAO_ENS_MEDIOANO_INICIO_GRADUACAOTURNO_CURSOESTADO_CIVIL_ESTUDANTECOR_RACA_ESTUDANTEESCOLARIDADE_PAI_ESTUDANTEESCOLARIDADE_MAE_ESTUDANTERESIDENCIA_ESTUDANTECOMPANHIA_RESIDENCIA_ESTUDANTERENDA_FAMILIA_ESTUDANTESITUACAO_FINANCEIRA_ESTUDANTESITUACAO_TRABALHO_ESTUDANTEBOLSA_ESTUDO_ESTUDANTEAUXILIO_PERMANENCIA_ESTUDANTEBOLSA_ACADEMICA_ESTUDANTEACAO_AFIRMATIVA_ESTUDANTEUNIDADE_FEDERATIVA_ESC_ENS_MEDIOCATEGORIA_ESCOLA_ENS_MEDIOMODALIDADE_ENS_MEDIOINCENTIVO_CURSOAPOIO_DIFICULDADES_ESTUDANTECURSO_SUPERIOR_FAMILIAHORAS_ESTUDO_SEMANA_ESTUDANTEMOTIVO_ESCOLHA_CURSOMOTIVO_ESCOLHA_IESRELACAO_PROFESSOR_ALUNODEDICACAO_ESTUDOSUTILIZACAO_TICSQTDE_FUNCIONARIOS_IESPESSOAL_APOIO_IESINFRAESTRUTURA_SALAS_IESRECURSOS_AULAS_PRATICASLOCAIS_AULAS_PRATICASRECURSOS_BIBLIOTECA_IESBIBLIOTECA_VIRTUALINFRAESTRUTURA_GERAL_IES
0111002831510340351526F2007.02012.03.0AADFAABCBAAAA51.0BABHADHI2.05.03.03.05.03.02.02.02.01.03.0
1111002831510340351523F2013.02013.03.0BDEDCBBDEAAAB51.0ABGKACCA5.06.06.05.06.06.04.06.04.03.06.0
2111002831510340351523M2011.02013.03.0ADEFBEFCAAADA51.0BABAABEA1.04.02.02.03.02.02.02.07.01.03.0
3111002831510340351523M2011.02013.03.0AADDDABCAAAAE11.0AABCACEA5.06.05.05.06.04.05.05.05.05.05.0
4111002831510340351524M2010.02013.03.0AADFBBFCCAAAA51.0BABGABAC2.04.03.02.05.02.02.02.03.03.03.0
5111002831510340351523M2011.02012.03.0AFBBBDCCBAADD51.0AAAGABCC3.05.04.04.05.05.04.04.03.02.05.0
6111002831510340351521F2012.02013.03.0ADDDBBCBAAEDE51.0AABHADDA3.04.04.03.04.04.02.02.02.02.04.0
7111002831510340351523M2011.02012.03.0ADDEBCCBAAAAA51.0BABGABDC2.04.05.04.05.03.01.01.05.03.05.0
8111002831510340351523F2011.02013.03.0AFEFBCEBAAAAE51.0ABBGACCA2.06.06.06.06.05.06.06.05.02.06.0
9111002831510340351522F2011.02013.03.0ADDDBDCCCAADA51.0BABHADEA1.03.05.04.06.04.04.04.03.01.05.0

Last rows

CODIGO_IESCATEGORIA_ADMINISTRATIVA_IESORGANIZACAO_ACADEMICA_IESCODIGO_CURSOMODALIDADE_CURSOMUNICIPIO_CURSOUNIDADE_FEDERATIVA_CURSOREGIAO_CURSOIDADE_ESTUDANTESEXO_ESTUDANTEANO_CONCLUSAO_ENS_MEDIOANO_INICIO_GRADUACAOTURNO_CURSOESTADO_CIVIL_ESTUDANTECOR_RACA_ESTUDANTEESCOLARIDADE_PAI_ESTUDANTEESCOLARIDADE_MAE_ESTUDANTERESIDENCIA_ESTUDANTECOMPANHIA_RESIDENCIA_ESTUDANTERENDA_FAMILIA_ESTUDANTESITUACAO_FINANCEIRA_ESTUDANTESITUACAO_TRABALHO_ESTUDANTEBOLSA_ESTUDO_ESTUDANTEAUXILIO_PERMANENCIA_ESTUDANTEBOLSA_ACADEMICA_ESTUDANTEACAO_AFIRMATIVA_ESTUDANTEUNIDADE_FEDERATIVA_ESC_ENS_MEDIOCATEGORIA_ESCOLA_ENS_MEDIOMODALIDADE_ENS_MEDIOINCENTIVO_CURSOAPOIO_DIFICULDADES_ESTUDANTECURSO_SUPERIOR_FAMILIAHORAS_ESTUDO_SEMANA_ESTUDANTEMOTIVO_ESCOLHA_CURSOMOTIVO_ESCOLHA_IESRELACAO_PROFESSOR_ALUNODEDICACAO_ESTUDOSUTILIZACAO_TICSQTDE_FUNCIONARIOS_IESPESSOAL_APOIO_IESINFRAESTRUTURA_SALAS_IESRECURSOS_AULAS_PRATICASLOCAIS_AULAS_PRATICASRECURSOS_BIBLIOTECA_IESBIBLIOTECA_VIRTUALINFRAESTRUTURA_GERAL_IES
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5374271957821002250012791351300935336F2013.02014.01.0EACBCHDEEAAAA35.0BACKBBAA5.06.05.05.04.04.05.02.04.04.04.0
5374281957821002250012791351300935335M2013.02014.01.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
5374291957821002250012791351300935325M2013.02014.04.0AACCBCCDEAAAA35.0AABABACA5.02.02.03.03.02.01.02.01.01.01.0
5374301957821002250012791351300935336M2013.02014.04.0BDBBCDCEEAAAA35.0AAFKABCA3.05.04.02.02.02.01.01.01.01.02.0
5374311957821002250012791351300935326M2013.02014.04.0ADBCBDCEEAAAD35.0AABCBBAF4.04.03.04.04.03.03.03.04.03.03.0
5374321957821002250012791351300935341M2013.02014.04.0BABDCCBEAAAAA35.0AAAGADCF3.04.04.02.02.04.04.04.05.01.01.0
5374331957821002250012791351300935322M2013.02014.04.0ADBDBDBFEAAAA35.0AABCBBHA4.04.06.03.08.04.08.08.02.08.03.0
5374341957821002250012791351300935335F2013.02014.04.0BDEDCBCEEAAAE35.0ABBKACCF6.05.06.04.04.05.04.04.04.04.04.0
5374351957821002250012791351300935332F2013.02014.04.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN

Duplicate rows

Most frequent

CODIGO_IESCATEGORIA_ADMINISTRATIVA_IESORGANIZACAO_ACADEMICA_IESCODIGO_CURSOMODALIDADE_CURSOMUNICIPIO_CURSOUNIDADE_FEDERATIVA_CURSOREGIAO_CURSOIDADE_ESTUDANTESEXO_ESTUDANTEANO_CONCLUSAO_ENS_MEDIOANO_INICIO_GRADUACAOTURNO_CURSOESTADO_CIVIL_ESTUDANTECOR_RACA_ESTUDANTEESCOLARIDADE_PAI_ESTUDANTEESCOLARIDADE_MAE_ESTUDANTERESIDENCIA_ESTUDANTECOMPANHIA_RESIDENCIA_ESTUDANTERENDA_FAMILIA_ESTUDANTESITUACAO_FINANCEIRA_ESTUDANTESITUACAO_TRABALHO_ESTUDANTEBOLSA_ESTUDO_ESTUDANTEAUXILIO_PERMANENCIA_ESTUDANTEBOLSA_ACADEMICA_ESTUDANTEACAO_AFIRMATIVA_ESTUDANTEUNIDADE_FEDERATIVA_ESC_ENS_MEDIOCATEGORIA_ESCOLA_ENS_MEDIOMODALIDADE_ENS_MEDIOINCENTIVO_CURSOAPOIO_DIFICULDADES_ESTUDANTECURSO_SUPERIOR_FAMILIAHORAS_ESTUDO_SEMANA_ESTUDANTEMOTIVO_ESCOLHA_CURSOMOTIVO_ESCOLHA_IESRELACAO_PROFESSOR_ALUNODEDICACAO_ESTUDOSUTILIZACAO_TICSQTDE_FUNCIONARIOS_IESPESSOAL_APOIO_IESINFRAESTRUTURA_SALAS_IESRECURSOS_AULAS_PRATICASLOCAIS_AULAS_PRATICASRECURSOS_BIBLIOTECA_IESBIBLIOTECA_VIRTUALINFRAESTRUTURA_GERAL_IEScount
067310022189661353870935325M2010.02011.04.0AACBBFECEHAFA35.0AABHADEF6.06.06.06.06.06.06.06.06.06.06.02
1103851002211350781500830550523M2011.02013.04.0AABBBEACEHAAD50.0AABHBBAF6.06.06.06.06.06.06.06.06.06.06.02
22189410022904530211130021234F2002.02014.01.0BDCCCEBECBAAA21.0AAAAAECF6.06.06.06.06.06.06.06.06.06.06.02
3521551002011269941351110235320F2014.02015.04.0AABBBEABABACA35.0AABHBCEF6.06.06.06.06.06.06.06.06.06.06.02